Tielin Lu

Institute of Scientific and Technical Information of China

Papers

Total Citations

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About

Tielin Lu is a researcher focused on advancing intelligent manufacturing through cyber-physical systems and industrial automation. His key research areas include industrial robot condition monitoring, cloud-based state detection, and predictive maintenance for critical mechanical components. Lu’s most notable contribution is his work on developing a cloud platform for real-time monitoring of industrial robot reducers, addressing the challenges of complex failure data, high stability demands, and poor real-time control in automated production lines. By integrating cyber-physical theory with cloud computing, he proposed a novel system architecture that enables online, remote monitoring of reducer health—a vital component in robotic systems. His paper “Research on industrial robot reducer state monitoring cloud platform” (2020) has garnered 3 citations, reflecting its early impact in the niche field of industrial IoT and smart maintenance. This work lays the groundwork for more resilient, data-driven manufacturing ecosystems, offering practical solutions for reducing downtime and improving operational efficiency. Lu’s research is particularly relevant for engineers and researchers working at the intersection of robotics, cloud computing, and industrial informatics.